Facio
Facio Pricing

From insurance data to production rates

MGAs and regional carriers face the same pricing challenges as the big players — without the big-team resources to match. Facio gives lean actuarial teams one connected loop from raw portfolio data to a live, versioned ratebook. Transparent models your committee can sign. Strategies you can test before they ship.

ModelMonitorRate AdequacyOptimizeRatebookRate ImpactRenewalCopilot
Built for lean actuarial teams

Modern pricing without the enterprise overhaul

No rip-and-replace, no data-science hiring spree, no enterprise-scale budget. Facio modernizes pricing operations around three principles:

Transparency

Machine learning explores your data; Facio proposes a transparent model that captures what it found; your actuary reviews, adjusts and approves. Every relativity visible, reviewable and defensible — nothing hides in a black box.

Scalability

One system replaces the patchwork of actuarial software, spreadsheets, notebooks and committee slides. Data, models, monitoring, strategy and the ratebook itself live in one place — each step feeds the next, so a small team runs a big-team loop.

Affordability

Works with what you have. Bring your own data in, take your ratebook out — to Excel, to your rating engine, or live via API. Start with a free pricing health score and add modules only when they earn their place.

Why Facio Pricing

One loop, not five systems

Today, pricing lives in pieces: actuarial software here, spreadsheets there, models in notebooks, decisions in committee slides — and the final rates re-typed into the policy system. Every handoff loses time, context and margin.

  • No re-implementation. The model your actuary approves is the model that rates policies in production. Nothing gets translated, re-coded or lost on the way.
  • Works with what you have. You don't need to run Facio's policy system. Bring your own data in, take your ratebook out.
  • The loop closes itself. Production performance flows straight back into monitoring, so you see rate drift while it is still cheap to fix.
The Facio principle. Every Facio Machine produces an immutable, explainable, production-ready artifact. Pricing produces a ratebook you can deploy — not a slide you have to rebuild.
The Pricing Loop
1
Portfolio data
policies, claims, exposure, premium
2
Risk modeling
what does each risk really cost?
3
Technical price
claims + expenses + margin
4
Commercial optimization
what should we actually charge?
5
Ratebook
versioned, approved, executable
6
Production rating
every quote, every renewal
7
Observed performance
actual vs. expected, live
Monitoring feeds the next model — the loop closes
Facio Pricing Copilot

Ask your portfolio a question

The whole loop is conversational. Brainstorm with an actuary-trained copilot that has access to every tool on this page — your team asks in plain language; Facio does the analysis, builds the candidate models, drafts the committee paper, and publishes the approved result. One workspace for rate planning, report building and everything in between.

Pick a working session
  • Actuary-trained, not a generic chatbot — it speaks relativities, credibility and combined ratios.
  • Full tool access — it runs the same Model, Monitor, Optimize and Ratebook machinery your team uses directly.
  • You stay in charge. The copilot drafts and proposes; your actuary reviews, adjusts and approves.
A real working session
Why did the loss ratio deteriorate last quarter?
Severity rose 11.4%, concentrated in urban collision claims; frequency was stable. Territories T7 and T9 appear underpriced and explain most of the deterioration.
Build a candidate model that corrects it — no customer moves more than 10%.
Done. The candidate recovers $2.1M of annual margin within your constraint. Comparison with the current tariff is ready for review.
Draft the pricing committee paper and publish the approved ratebook effective January 1.
Paper drafted. Ratebook 2027.1 is versioned and ready to deploy on approval.
The Modules

Every step of the loop, one machine each

Start with one module and add the next when it earns its place. Everything already fits.

Facio Model · Risk Modeling

Models that speak insurance

Upload policies, claims and exposure. Choose what to predict — claim frequency, severity, retention, conversion. Facio builds and compares candidate models automatically, and handles the actuarial detail so the output reads like pricing work, not data science.

  • Built on actuarial structure — exposure, credibility, large-loss treatment, trend and inflation are first-class citizens.
  • Answers in your language: relativities, base rates and factor tables — never an opaque score to defend to a regulator.
  • Classical statistical models and modern machine learning, trained side by side on the same data, judged on the same terms.
ML exploresFacio proposesActuary approves
98.1%

of the machine-learning model's predictive power retained in the transparent version

100%

of factors explainable — every relativity visible, reviewable and defensible

What Facio tells you: "Drivers aged 18–21 show a 1.47× frequency relativityafter controlling for vehicle group, territory and annual mileage." Not: "the model scored 0.82."
Get Started

See where your margin is hiding

Start with the free pricing health score: upload your book, and Facio shows you how adequate your rates really are — segment by segment. From there, the loop is yours to close.

1 · Score

Upload ratebook, policies and claims. Get your pricing health score and the segments driving it.

2 · Model

Build transparent models from your own data. Test strategies against your real portfolio.

3 · Deploy

Publish a versioned ratebook — to your systems today, to Facio OS whenever you're ready.

Big-team pricing. Lean-team reality.

Get your free pricing health score, or walk the whole loop with us on your own portfolio data.